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ASSIGNMENT
DRIVE
PROGRAM
SUBJECT CODE & NAME
SEMESTER
BK ID
CREDITS
MARKS

WINTER 2013
MBADS/ MBAFLEX/ MBAHCSN3/ MBAN2/ PGDBAN2
MB0044 - PRODUCTION AND OPERATION MANAGEMENT
2
B 1627
4
60

Note: Answer all questions. Kindly note that answers for 10 marks questions should be
approximately of 400 words. Each question is followed by evaluation scheme.

1 What is value engineering? List the main benefits of value engineering?
Answer : Value Engineering is a fuction oriented, systematic team approach and study to provide
value in a product, system or service. Often, this improvement is focused on cost reduction; however
other important areas such as customer perceived quality and performance are also of paramount
importance in the value equation.
Value Engineering techniques can be applied to any product process procedure system or service in
any kind of business or economic activity including health care, governance, construction, industry
and in the service sector.

2 Case study: SABMiller revamps supply chain management
SABMilller, the $24bn global brewing giant, is revamping its supply chain management system to
reduce stock-outs caused by an increasingly complex and hard to predict market.
The firm is developing and testing the new system in South Africa with an eye on rolling it out to
group companies worldwide, says SABMiller programme manager Rudi van Schoor.
The trigger for the revamp came when the company's customers ran out of stocks of popular
SABMiller brands during peak periods in two consecutive years, 2007 and 2008. The shortfall on
some brands was as high as 22%. "That had a direct impact on the bottom line," Van Schoor
says.
Given SABMiller's ambition to be the world's most efficient producer, such a gap was never going
to be tolerated. But instead of addressing the symptom, it called in management consultancy
McKinsey to look at the entire supply chain system to see where it could be improved and future
stock-outs avoided.
The study revealed a complex situation, one that wasn't susceptible to a "quick fix", Van Schoor
says.
Demand factors
The ethnically and demographically diverse South African market is one of the world's most
complex and fast-changing. Van Schoor cites economic growth, more disposable income in new
hands, changing and upgrading tastes, new product development and new routes to market
among the factors that influence demand for SABMiller's products.
Add to that big events such as the British Lions tour and the 2010 World Cup, and climate
change, and the picture becomes more complex.
"Our brands are the same as any other brand, especially those at the luxury end," says Van
Schoor. "If the customer comes into the shop and can't find our product, he or she has the
disposable income and self-confidence to substitute our brand for our competitors'. That's
dangerous."
Van Scoor says the group has a average stock availability target of 98%. "But for some premium
brands the target is 100%," he says. That means it will live with excess stocks of some products,
just to ensure that a thirsty customer can get his or her favourite drink, every time.
Maximise profitability
But SABMiller also wants to maxmise its profitability. To do all this it must integrate information
from a lot of sources. These include sales forecasts for about 2,600 SKU locations or depots for
the brewing division and 3,100 for the soft drinks division, as well as planned promotions data
from the marketing and promotions division, as well as cost and production data, among others.
These data must then be converted into raw material purchases, manufacturing scheduling,
distribution and stockholding plans for 12 factories (seven breweries and five soft drink plants)
and three tiers of distributors, broken down into between 70 and 80 stock-keeping units (skus) for
the brewing division and around 270 for soft drinks.
And all this must be optimised for profit.
"There is inherent volatilty of demand in the soft drinks business because of seasonal change,
but less in the beer market," Van Schoor says.
Even so, improving the accuracy of demand forecasts and schedules and integrating them to
boost profitability was too complex for SABMillers's demand forecast and supply system. The
inhouse system, developed over years, had most of the usual problems associated with legacy
systems: it was inflexible, complex, hard to communicate with, and hard to integrate with newer
systems, Van Schoor says.
Integration with SAP system
After a global search, SABMiller settled on Infor's advanced supply chain management system, in
particular Infor's demand forecasting system. This takes information from modules of SABMiller's
SAP enterprise resource management system, integrates them with sales forecasts from the
field, and feeds back to the manufacturing resource planning system and financial systems to
generate production schedules, raw materials orders and volume and financial forecasts.
This will let SABMiller make any of its products in the most cost-effective location, given the local
demand, manufacturing, transport and inventory costs.
It will also increase its flexibility in responding to changes in demand. Products will no longer be
made only in a single plant to optimise production runs, but, based on more holistic data, in the
plants that optimise overall profitability.
This flexibility also gives the company greater cover to handle factory downtime and to meet
rapid changes in demand.
But some parts of the legacy system will still be around. "We are keeping it to manage the return
and reuse of empty bottles," Van Schoor says.
But even that data will go into the Infor system so that it can create production schedules down to
tank, line and minute accuracy.
This attention to detail is part of the SABMiller ethos. Measurement and numbers are integral to
the company culture. Van Schoor says the Infor system will be tested in three ways: on its
"theoretical" answers, against actual results, and against causal factors that may have influenced
demand and supply.
Van Schoor says the $1.2m the firm spent on Infor licences was about 60% of the total project
cost. But this could be a drop in the ocean if the company adopts it worldwide. And interest from
group firms is high.
"We have used expertise from all around the group," Van Schoor says. "One of the best people
on the project came from our European division, and we have lots of others keen to know how we
do."
(Source
:
http://www.computerweekly.com/feature/Case-study-SABMiller-revamps-supplychainmanagement)
Why did SAB Milller revamp its supply chain? Describe the domain application used for SCM
integration?
Answer : SABMilller, the $24bn global brewing giant, is revamping its supply chain management
system to reduce stock-outs caused by an increasingly complex and hard to predict market.
The firm is developing and testing the new system in South Africa with an eye on rolling it out to
group companies worldwide, says SABMiller programme manager Rudi van Schoor.

The trigger for the revamp came when the company's customers ran out of stocks of popular
SABMiller brands during peak periods in two consecutive years, 2007 and 2008. The shortfall on
some brands was as high as 22%. "That had a

3 Write short notes on:
 Ingredients of a business process
Answer : 1) Time: You must understand that time is money. In business, our objective is to
makemoney. Period. But the question is how productively you convert your time into money.
Areyou making full use of your time or you just let the time pass by you?
How much you make depends on how good you are at converting time to money. If you arealready
productive, then you may want to ask what are

 Work Breakdown Structure
Answer : A work breakdown structure (WBS) is a model of the work to be performed in a project
organized in a hierarchical structure. The WBS is an important tool which helps you keep an
overview of the project:
It forms the basis for organization and coordination in the project.
It shows the amount of work, the time required, and the costs involved in the project..
The work breakdown structure is the

 Productivity
Answer : Productivity is the ratio of output to inputs in production; it is an average measure of the
efficiency of production. Efficiency of production means production’s capability to create incomes
which is measured by the formula real output value minus real input value.

4 Collaborative Forecasting Running Smoothly at Brooks Sports
Brooks Sports designs and develops high-performance running footwear, apparel and
accessories which are sold in 80 countries worldwide. In 2001, when the company shifted from a
broad product line to focus on high-performance products targeted at serious runners, it was
clear that the forecasting process needed to change to support the strategic direction of the
company. The existing forecasting process, based entirely on the judgment of the sales team,
was limiting the company’s ability to grow.
The strategy shift created a number of forecasting challenges for Brooks including:
♦ Inconsistent style growth: the new line of products experience growth rates anywhere from 0 to
50 percent annually.
♦ Long production planning horizon coupled with short product life: production and capacity
decisions are typically made 18 months before a style is launched, average lead time for a style
is 6 months and the product life of Brooks’ styles range from 6 to 24 months. This means that
planners must sometimes set the entire demand plan for a style prior to ever receiving a
customer order, underscoring the importance of accurate forecasts.
♦ Increasing “at-once” orders: “at once” orders, which are placed for immediate shipment,
historically accounted for less than 20 percent of total sales. Since 2001, however, “at once”
orders have increased to nearly 50 percent of total sales.
♦ Evolving size curves: with its new focus on serious runners, the standard footwear size curve
would not adequately reflect distribution of sales by sizes.
♦ No exposure to retail sell-through: the high-performance products are sold primarily through
independent specialty stores who don’t have the capability to share sales data with vendors.
With a corporate mandate from senior management emphasizing the importance of creating
accurate and timely forecasts, Brooks completely revamped its forecasting process. An
independent forecasting group, reporting directly to the COO and CFO, was established to
coordinate input from various groups—sales, marketing, product development and production—
and to remove bias from the forecasting process.
The forecasting group established a collaborative forecasting process with three primary steps:
Step 1: Produce monthly statistical forecasts at the SKU level to capture level, trend, seasonality
and the impact of events based on historical data. Brooks chose Forecast Pro to create these
forecasts due to a number of features available in the software:
♦ Ability to create accurate forecasts
♦ Flexibility to choose forecast models or let software automatically select models
♦ Capability to model events (particularly important for predicting spikes in demand with new
product launches)
♦ Support for multiple-level models to produce consistent forecasts at all levels of aggregation
♦ Powerful override facility to enable collaborative forecasting
“Forecast Pro has been a great solution for Brooks,” says Tom Ross, Financial Analyst.
“Implementing Forecast Pro’s event modeling is very simple, which is an essential feature for us
because of our moving product launches. We also use event models to address the challenge of
forecasting events that don’t occur on a regular basis—such as races—which can have a
dramatic impact on the sales of specific products. Another powerful feature of Forecast Pro is the
ability to forecast a product hierarchy. This helps us to serve our multiple constituents within
Brooks—we review higher-level forecasts with management and easily generate detailed
forecasts at the SKU level for demand planning.”
Step 2: On a quarterly basis, get sales management and sales reps to forecast sales for a 12month horizon, focusing on major accounts. This input is gathered via the Web and then
aggregated by the forecasting group.
Step 3: Compare the statistical and judgmental forecasts, and make adjustments to create the
final monthly forecast. Ninety percent of the final forecasts are the same as the statistical
forecasts—changes are most commonly made to the forecasts for new styles where the sales
organization has important knowledge to add. These final forecasts are then automatically fed
into Brooks’ ERP system. “Forecast Pro allows us to easily apply judgmental overrides, which is
critical for us,” notes Ross. “We now can systematically track changes, giving us a better
understanding of our forecasting performance.”
The commitment to forecasting has paid off at Brooks. Forecast accuracy has improved on
average by 40 percent, unfulfilled demand has been lowered from approximately 20 percent to
less than 5 percent, and closeouts have been reduced by more than 60 percent. The improved
forecasting has also helped to smooth out production, resulting in lowered costs and better
margins.
Source :http://www.forecastpro.com/pdfs/Success%20Story-Brooks%20Sports.pdf
What is the main issue of the case study? Analyse the forecasting solution
Answer : forecasting challenges :
Demand forecasting - defined as the ongoing process of projecting which products will be
purchased, where, when, and in what quantities - serves five critical functions in the market for
global health products and the effective delivery of medicines and supplies, all of which add up to
lives saved:
Essential products are available because there is enough supply to meet demand. Demand forecasts
allow manufacturers to plan and invest in

5 Explain the risk management and its various components
Answer : Four foundational elements frame what executive management and directors need to
consider when evaluating the best way to implement enterprise risk management (ERM). These four
elements – process, integration, culture and infrastructure – are intended to be flexible in
application because strategies, organizational structures, operating philosophies and risk profiles
vary in complexity across industries and firms. We discuss the process element below.
Like any other worthwhile business activity, risk management requires a process with a clear
purpose, reliable inputs, well-designed activities

6 Why redesign of layouts may be necessary? List the differences between product and process
layout.
Answer : A redesign can be exciting but daunting task. The to-do list can be huge and the costs
extravagant. But a redesign is a great way to inject new life into a stagnant business with fresh faces
and new clients. It can mean increased productivity, interactivity and the ability to track important
metrics.

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Send your semester & Specialization name to our mail id :
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Mb0044 production and operation management

  • 1. Dear students get fully solved assignments Send your semester & Specialization name to our mail id : “ help.mbaassignments@gmail.com ” or Call us at : 08263069601 (Prefer mailing. Call in emergency ) ASSIGNMENT DRIVE PROGRAM SUBJECT CODE & NAME SEMESTER BK ID CREDITS MARKS WINTER 2013 MBADS/ MBAFLEX/ MBAHCSN3/ MBAN2/ PGDBAN2 MB0044 - PRODUCTION AND OPERATION MANAGEMENT 2 B 1627 4 60 Note: Answer all questions. Kindly note that answers for 10 marks questions should be approximately of 400 words. Each question is followed by evaluation scheme. 1 What is value engineering? List the main benefits of value engineering? Answer : Value Engineering is a fuction oriented, systematic team approach and study to provide value in a product, system or service. Often, this improvement is focused on cost reduction; however other important areas such as customer perceived quality and performance are also of paramount importance in the value equation. Value Engineering techniques can be applied to any product process procedure system or service in any kind of business or economic activity including health care, governance, construction, industry and in the service sector. 2 Case study: SABMiller revamps supply chain management SABMilller, the $24bn global brewing giant, is revamping its supply chain management system to reduce stock-outs caused by an increasingly complex and hard to predict market. The firm is developing and testing the new system in South Africa with an eye on rolling it out to group companies worldwide, says SABMiller programme manager Rudi van Schoor. The trigger for the revamp came when the company's customers ran out of stocks of popular SABMiller brands during peak periods in two consecutive years, 2007 and 2008. The shortfall on some brands was as high as 22%. "That had a direct impact on the bottom line," Van Schoor
  • 2. says. Given SABMiller's ambition to be the world's most efficient producer, such a gap was never going to be tolerated. But instead of addressing the symptom, it called in management consultancy McKinsey to look at the entire supply chain system to see where it could be improved and future stock-outs avoided. The study revealed a complex situation, one that wasn't susceptible to a "quick fix", Van Schoor says. Demand factors The ethnically and demographically diverse South African market is one of the world's most complex and fast-changing. Van Schoor cites economic growth, more disposable income in new hands, changing and upgrading tastes, new product development and new routes to market among the factors that influence demand for SABMiller's products. Add to that big events such as the British Lions tour and the 2010 World Cup, and climate change, and the picture becomes more complex. "Our brands are the same as any other brand, especially those at the luxury end," says Van Schoor. "If the customer comes into the shop and can't find our product, he or she has the disposable income and self-confidence to substitute our brand for our competitors'. That's dangerous." Van Scoor says the group has a average stock availability target of 98%. "But for some premium brands the target is 100%," he says. That means it will live with excess stocks of some products, just to ensure that a thirsty customer can get his or her favourite drink, every time. Maximise profitability But SABMiller also wants to maxmise its profitability. To do all this it must integrate information from a lot of sources. These include sales forecasts for about 2,600 SKU locations or depots for the brewing division and 3,100 for the soft drinks division, as well as planned promotions data from the marketing and promotions division, as well as cost and production data, among others. These data must then be converted into raw material purchases, manufacturing scheduling, distribution and stockholding plans for 12 factories (seven breweries and five soft drink plants) and three tiers of distributors, broken down into between 70 and 80 stock-keeping units (skus) for the brewing division and around 270 for soft drinks. And all this must be optimised for profit. "There is inherent volatilty of demand in the soft drinks business because of seasonal change, but less in the beer market," Van Schoor says. Even so, improving the accuracy of demand forecasts and schedules and integrating them to boost profitability was too complex for SABMillers's demand forecast and supply system. The inhouse system, developed over years, had most of the usual problems associated with legacy systems: it was inflexible, complex, hard to communicate with, and hard to integrate with newer systems, Van Schoor says. Integration with SAP system After a global search, SABMiller settled on Infor's advanced supply chain management system, in particular Infor's demand forecasting system. This takes information from modules of SABMiller's SAP enterprise resource management system, integrates them with sales forecasts from the field, and feeds back to the manufacturing resource planning system and financial systems to generate production schedules, raw materials orders and volume and financial forecasts. This will let SABMiller make any of its products in the most cost-effective location, given the local demand, manufacturing, transport and inventory costs.
  • 3. It will also increase its flexibility in responding to changes in demand. Products will no longer be made only in a single plant to optimise production runs, but, based on more holistic data, in the plants that optimise overall profitability. This flexibility also gives the company greater cover to handle factory downtime and to meet rapid changes in demand. But some parts of the legacy system will still be around. "We are keeping it to manage the return and reuse of empty bottles," Van Schoor says. But even that data will go into the Infor system so that it can create production schedules down to tank, line and minute accuracy. This attention to detail is part of the SABMiller ethos. Measurement and numbers are integral to the company culture. Van Schoor says the Infor system will be tested in three ways: on its "theoretical" answers, against actual results, and against causal factors that may have influenced demand and supply. Van Schoor says the $1.2m the firm spent on Infor licences was about 60% of the total project cost. But this could be a drop in the ocean if the company adopts it worldwide. And interest from group firms is high. "We have used expertise from all around the group," Van Schoor says. "One of the best people on the project came from our European division, and we have lots of others keen to know how we do." (Source : http://www.computerweekly.com/feature/Case-study-SABMiller-revamps-supplychainmanagement) Why did SAB Milller revamp its supply chain? Describe the domain application used for SCM integration? Answer : SABMilller, the $24bn global brewing giant, is revamping its supply chain management system to reduce stock-outs caused by an increasingly complex and hard to predict market. The firm is developing and testing the new system in South Africa with an eye on rolling it out to group companies worldwide, says SABMiller programme manager Rudi van Schoor. The trigger for the revamp came when the company's customers ran out of stocks of popular SABMiller brands during peak periods in two consecutive years, 2007 and 2008. The shortfall on some brands was as high as 22%. "That had a 3 Write short notes on:  Ingredients of a business process Answer : 1) Time: You must understand that time is money. In business, our objective is to makemoney. Period. But the question is how productively you convert your time into money. Areyou making full use of your time or you just let the time pass by you? How much you make depends on how good you are at converting time to money. If you arealready productive, then you may want to ask what are  Work Breakdown Structure
  • 4. Answer : A work breakdown structure (WBS) is a model of the work to be performed in a project organized in a hierarchical structure. The WBS is an important tool which helps you keep an overview of the project: It forms the basis for organization and coordination in the project. It shows the amount of work, the time required, and the costs involved in the project.. The work breakdown structure is the  Productivity Answer : Productivity is the ratio of output to inputs in production; it is an average measure of the efficiency of production. Efficiency of production means production’s capability to create incomes which is measured by the formula real output value minus real input value. 4 Collaborative Forecasting Running Smoothly at Brooks Sports Brooks Sports designs and develops high-performance running footwear, apparel and accessories which are sold in 80 countries worldwide. In 2001, when the company shifted from a broad product line to focus on high-performance products targeted at serious runners, it was clear that the forecasting process needed to change to support the strategic direction of the company. The existing forecasting process, based entirely on the judgment of the sales team, was limiting the company’s ability to grow. The strategy shift created a number of forecasting challenges for Brooks including: ♦ Inconsistent style growth: the new line of products experience growth rates anywhere from 0 to 50 percent annually. ♦ Long production planning horizon coupled with short product life: production and capacity decisions are typically made 18 months before a style is launched, average lead time for a style is 6 months and the product life of Brooks’ styles range from 6 to 24 months. This means that planners must sometimes set the entire demand plan for a style prior to ever receiving a customer order, underscoring the importance of accurate forecasts. ♦ Increasing “at-once” orders: “at once” orders, which are placed for immediate shipment, historically accounted for less than 20 percent of total sales. Since 2001, however, “at once” orders have increased to nearly 50 percent of total sales. ♦ Evolving size curves: with its new focus on serious runners, the standard footwear size curve would not adequately reflect distribution of sales by sizes. ♦ No exposure to retail sell-through: the high-performance products are sold primarily through independent specialty stores who don’t have the capability to share sales data with vendors. With a corporate mandate from senior management emphasizing the importance of creating accurate and timely forecasts, Brooks completely revamped its forecasting process. An independent forecasting group, reporting directly to the COO and CFO, was established to coordinate input from various groups—sales, marketing, product development and production— and to remove bias from the forecasting process. The forecasting group established a collaborative forecasting process with three primary steps: Step 1: Produce monthly statistical forecasts at the SKU level to capture level, trend, seasonality and the impact of events based on historical data. Brooks chose Forecast Pro to create these
  • 5. forecasts due to a number of features available in the software: ♦ Ability to create accurate forecasts ♦ Flexibility to choose forecast models or let software automatically select models ♦ Capability to model events (particularly important for predicting spikes in demand with new product launches) ♦ Support for multiple-level models to produce consistent forecasts at all levels of aggregation ♦ Powerful override facility to enable collaborative forecasting “Forecast Pro has been a great solution for Brooks,” says Tom Ross, Financial Analyst. “Implementing Forecast Pro’s event modeling is very simple, which is an essential feature for us because of our moving product launches. We also use event models to address the challenge of forecasting events that don’t occur on a regular basis—such as races—which can have a dramatic impact on the sales of specific products. Another powerful feature of Forecast Pro is the ability to forecast a product hierarchy. This helps us to serve our multiple constituents within Brooks—we review higher-level forecasts with management and easily generate detailed forecasts at the SKU level for demand planning.” Step 2: On a quarterly basis, get sales management and sales reps to forecast sales for a 12month horizon, focusing on major accounts. This input is gathered via the Web and then aggregated by the forecasting group. Step 3: Compare the statistical and judgmental forecasts, and make adjustments to create the final monthly forecast. Ninety percent of the final forecasts are the same as the statistical forecasts—changes are most commonly made to the forecasts for new styles where the sales organization has important knowledge to add. These final forecasts are then automatically fed into Brooks’ ERP system. “Forecast Pro allows us to easily apply judgmental overrides, which is critical for us,” notes Ross. “We now can systematically track changes, giving us a better understanding of our forecasting performance.” The commitment to forecasting has paid off at Brooks. Forecast accuracy has improved on average by 40 percent, unfulfilled demand has been lowered from approximately 20 percent to less than 5 percent, and closeouts have been reduced by more than 60 percent. The improved forecasting has also helped to smooth out production, resulting in lowered costs and better margins. Source :http://www.forecastpro.com/pdfs/Success%20Story-Brooks%20Sports.pdf What is the main issue of the case study? Analyse the forecasting solution Answer : forecasting challenges : Demand forecasting - defined as the ongoing process of projecting which products will be purchased, where, when, and in what quantities - serves five critical functions in the market for global health products and the effective delivery of medicines and supplies, all of which add up to lives saved: Essential products are available because there is enough supply to meet demand. Demand forecasts allow manufacturers to plan and invest in 5 Explain the risk management and its various components Answer : Four foundational elements frame what executive management and directors need to consider when evaluating the best way to implement enterprise risk management (ERM). These four elements – process, integration, culture and infrastructure – are intended to be flexible in
  • 6. application because strategies, organizational structures, operating philosophies and risk profiles vary in complexity across industries and firms. We discuss the process element below. Like any other worthwhile business activity, risk management requires a process with a clear purpose, reliable inputs, well-designed activities 6 Why redesign of layouts may be necessary? List the differences between product and process layout. Answer : A redesign can be exciting but daunting task. The to-do list can be huge and the costs extravagant. But a redesign is a great way to inject new life into a stagnant business with fresh faces and new clients. It can mean increased productivity, interactivity and the ability to track important metrics. Dear students get fully solved assignments Send your semester & Specialization name to our mail id : “ help.mbaassignments@gmail.com ” or Call us at : 08263069601 (Prefer mailing. Call in emergency )